title: Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems.
abstract: OBJECTIVE
  To determine whether a novel automatic segmentation program, the Duke Optical Coherence Tomography Retinal Analysis Program (DOCTRAP), can be applied to spectral-domain optical coherence tomography (SD-OCT) images obtained from different commercially available SD-OCT in eyes with diabetic macular edema (DME).
  
  
  METHODS
  A novel segmentation framework was used to segment the retina, inner retinal pigment epithelium, and Bruch's membrane on images from eyes with DME acquired by one of two SD-OCT systems, Spectralis or Cirrus high definition (HD)-OCT. Thickness data obtained by the DOCTRAP software were compared with those produced by Spectralis and Cirrus. Measurement agreement and its dependence were assessed using intraclass correlation (ICC).
  
  
  RESULTS
  A total of 40 SD-OCT scans from 20 subjects for each machine were included in the analysis. Spectralis: the mean thickness in the 1-mm central area determined by DOCTRAP and Spectralis was 463.8 ± 107.5 μm and 467.0 ± 108.1 μm, respectively (ICC, 0.999). There was also a high level agreement in surrounding areas (out to 3 mm). Cirrus: the mean thickness in the 1-mm central area was 440.8 ± 183.4 μm and 442.7 ± 182.4 μm by DOCTRAP and Cirrus, respectively (ICC, 0.999). The thickness agreement in surrounding areas (out to 3 mm) was more variable due to Cirrus segmentation errors in one subject (ICC, 0.734-0.999). After manual correction of the errors, there was a high level of thickness agreement in surrounding areas (ICC, 0.997-1.000).
  
  
  CONCLUSIONS
  The DOCTRAP may be useful to compare retinal thicknesses in eyes with DME across OCT platforms.
authors.affiliation: Department of Ophthalmology, Duke University Medical Center, Durham, North Carolina.
authors.forename: Joo Yong
authors.initials: JY
authors.lastname: Lee
authors.forename: Stephanie J
authors.initials: SJ
authors.lastname: Chiu
authors.forename: Pratul P
authors.initials: PP
authors.lastname: Srinivasan
authors.forename: Joseph A
authors.initials: JA
authors.lastname: Izatt
authors.forename: Cynthia A
authors.initials: CA
authors.lastname: Toth
authors.forename: Sina
authors.initials: S
authors.lastname: Farsiu
authors.forename: Glenn J
authors.initials: GJ
authors.lastname: Jaffe
mesh_terms: D000465:Algorithms; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008269:Macular Edema / Q000175:diagnosis*; D009929:Organ Size; D012160:Retina / Q000473:pathology*; D055211:Retinal Photoreceptor Cell Inner Segment / Q000473:pathology; D055214:Retinal Photoreceptor Cell Outer Segment / Q000473:pathology; D055213:Retinal Pigment Epithelium / Q000473:pathology; D012984:Software; D041623:Tomography, Optical Coherence / Q000295:instrumentation / Q000379:methods*
keywords: diabetic macular edema (DME); segmentation; spectral-domain optical coherence tomography (SD-OCT)